Effects of Dip-Coating Processing Parameters on the Functional Performances of Ti$_3$C$_2$T$_x$ MXene-Silk Yarns

Effects of Dip-Coating Processing Parameters on the Functional Performances of Ti$_3$C$_2$T$_x$ MXene-Silk Yarns

Year:    2023

Author:    Si-Rui Yao, Chen Meng, Qing-Hong Huang, Ze-Kun Liu, Henry Yi Li

Journal of Fiber Bioengineering and Informatics, Vol. 16 (2023), Iss. 1 : pp. 15–30

Abstract

Mxenes, as a new group of two-dimensional materials in form of transition metal carbides, carbonitrides and/or nitrides, have been playing an important role in the wearable smart electronic field. Due to their abundance surface functional groups, Mxenes have showed their superior dispersions in various solvents which is beneficial to simply the fabrication process of textile-based electronics while their electrical performance guaranteed. In this work, we report a novel fine silk yarn dip-coated in an aqueous solution of ${\rm Ti}_3{\rm C}_2{\rm T}_x$ MXene to obtain low electrical resistance (∼25.6 Ohms/cm). Yarns structures and morphologies were observed by transmission and scanning electron microscopy (TEM & SEM) together with energy dispersive spectroscopy (EDS). Besides, Fourier transform infrared (FTIR) and Raman spectroscopy, and X-ray diffraction (XRD) analysis were carried out to reveal the chemical compositions. By controlling two coating parameters as design of experiments (DoE) factors, we found both solution concentration and soaking time had significant effects on yarn performances. The mechanical performance of yarn fabricated under the optimised coating condition was evaluated by means of tensile testing, resulting in a significant 23% increase in breaking strength (∼107 MPa). In responding to tensile deformation, the dip-coated yarn also performed a linear variation in resistance, which indicated its capability in sensing applications.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.3993/jfbim01041

Journal of Fiber Bioengineering and Informatics, Vol. 16 (2023), Iss. 1 : pp. 15–30

Published online:    2023-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    16

Keywords:    MXenes

Author Details

Si-Rui Yao

Chen Meng

Qing-Hong Huang

Ze-Kun Liu

Henry Yi Li